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Pedestrian perception-based level-of-service model at signalized intersection crosswalks
- Source :
- Journal of Modern Transportation, Vol 27, Iss 4, Pp 266-281 (2019)
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Pedestrian level of service (PLOS) is an important measure of performance in the analysis of existing pedestrian crosswalk conditions. Many researchers have developed PLOS models based on pedestrian delay, turning vehicle effect, etc., using the conventional regression method. However, these factors may not effectively reflect the pedestrians’ perception of safety while crossing the crosswalk. The conventional regression method has failed to estimate accurate PLOS because of the primary assumption of an arbitrary probability distribution and vagueness in the input data. Moreover, PLOS categories in existing studies are based on rigid threshold values and the boundaries that are not well defined. Therefore, it is an important attempt to develop a PLOS model with respect to pedestrian safety, convenience, and efficiency at signalized intersections. For this purpose, a video-graphic and user perception surveys were conducted at selected nine signalized intersections in Mumbai, India. The data such as pedestrian, traffic, and geometric characteristics were extracted, and significant variables were identified using Pearson correlation analysis. A consistent and statistically calibrated PLOS model was developed using fuzzy linear regression analysis. PLOS was categorized into six levels (A–F) based on the predicted user perception score, and threshold values for each level were estimated using the fuzzy c-means clustering technique. The developed PLOS model and threshold values were validated with the field-observed data. Statistical performance tests were conducted and the results provided more accurate and reliable solutions. In conclusion, this study provides a feasible alternative to measure pedestrian perception-based level of service at signalized intersections. The developed PLOS model and threshold values would be useful for planning and designing pedestrian facilities and also in evaluating and improving the existing conditions of pedestrian facilities at signalized intersections.
- Subjects :
- 0106 biological sciences
lcsh:Hydraulic engineering
Computer science
Fuzzy c-means
Poison control
Transportation
Pedestrian
computer.software_genre
Signalized intersection
01 natural sciences
Fuzzy logic
lcsh:TC1-978
0502 economics and business
Electrical and Electronic Engineering
Cluster analysis
Level of service
050210 logistics & transportation
Mechanical Engineering
05 social sciences
lcsh:TA1001-1280
Fuzzy regression
Computer Science Applications
Schema crosswalk
Probability distribution
Data mining
lcsh:Transportation engineering
computer
Intersection (aeronautics)
010606 plant biology & botany
Subjects
Details
- ISSN :
- 21960577 and 2095087X
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Journal of Modern Transportation
- Accession number :
- edsair.doi.dedup.....85f2f85c7ad66a9af1288642eca43dbf
- Full Text :
- https://doi.org/10.1007/s40534-019-00196-5